code: def set_random_seed(seed):
      logger.info("set random seed for data reading: {}".format(seed))
      random.seed(seed)
      os.environ["PYTHONHASHSEED"] = str(seed)
      np.random.seed(seed)
      random.seed(seed)
      torch.manual_seed(seed)
      if FLAGS.is_cuda:
          torch.cuda.manual_seed(seed)
          torch.backends.cudnn.deterministic = True
  
imports: import sys
  import os
  import logging
  import pickle
  import shutil
  import random
  import math
  import time
  import datetime
  import argparse
  import distutils.util
  import numpy
  import torch
  from torch import nn
  from torch import optim
  from torch.utils.data import DataLoader
  import torch.nn.functional
  from model import Model
  from nni.nas.pytorch.fixed import apply_fixed_architecture
  from dataloader import read_data_sst
label_desc: Use image node_id 2 for calling a global function with example usage: set_random_seed(seed) without return types